Building an Object Detection Toolkit in Tensorflow

With a Computer Engineer degree and +5 yrs of experience developing Machine Learning based systems, Javier is one of Tryolabs lead Research Engineers. Currently, he is leading the R&D team which is applying Deep Learning in Computer Vision for object detection. Previously, he worked in Machine Learning based projects in fields such as NLP and predictive analytics.

Presentation Description

In this talk, we will discuss how state of the art object detection techniques work. Moreover, we will explore an implementation of an open source Python object detection toolkit based on TensorFlow